Oral History Interview with William Wareing, April 13, 2009
Bibliographic record
Abstract
The National Museum of the Pacific War presents an oral interview with William Wareing. Wareing attended the Hawken School as a child, impressing upon him the value of discipline. He later joined the ROTC and the Kentucky National Guard. With war looming, he applied both to the Army Air Corps and Royal Canadian Air Force. Accepted by both, he chose the Air Corps, completing flight training in December 1941 as a second lieutenant. After two years as an instructor, he was appointed to oversee curriculum at various flight schools. By that time, he was a captain and he turned down a promotion to major in favor of attending B-29 school. He then joined the 500th Bombardment Group, flying exactly one mission, the final bombardment of Japan, days after the second atomic bomb was dropped. Under antiaircraft fire, Wareing risked being court-martialed to break formation and ensure proper targeting. Following the war, Wareing dropped supplies over POW camps in Formosa and China. When one of his flights was diverted, he came so close to crashing into a mountainside that he caught a leaf in his landing gear. In November 1945 he was discharged in order to see his dying mother. Wareing then went on to join the reserves, retiring as a major, and served as a board member of the National Museum of the Pacific War.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.074 | 0.015 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".